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: Strong programming skills in R for data analysis and visualization, and proficient in Unix command line environments for data processing Single-cell omics Methods to study chromatin interactions such as Hi
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), including both laboratory methods and data analysis pipelines, will be considered an asset. Knowledge in bioinformatics/data analysis, and ability to handle complex datasets, will be considered an asset
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and power converters. Our work spans from fundamental modelling and analysis to advanced control design and system optimization. Our specialty is developing embedded control, estimation, and
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behavioral and neurophysiological data, coordination of the studies at different stages, data analysis, and reporting the research findings. You will be part of a multidisciplinary research group supporting
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(epi)genomics and environmental adaptation. At least some prior experience in the processing and analysis of genomic data will be highly beneficial. The successful candidate will be affiliated with
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candidates can start as soon as possible and ideally by early 2026. The overreaching aim of REC is to generate a coordinated analysis of long-term ecological data to understand the drivers and consequences
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paleoecology of Old World Cenozoic mammals. Experience in statistical analysis, programming, spatial modeling, and database management Knowledge of mammalian skeletal and osteological morphology. Strong
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. Expertise in single-cell RNA sequencing (scRNA-seq), including both laboratory methods and data analysis pipelines, will be considered an asset. Knowledge in bioinformatics/data analysis, and ability
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resolve these questions, due to their proven ability to show plasticity in many traits. About you You have a PhD degree. You have experience with bioinformatic analysis, behavioral and/or experimental
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systematic reviews, meta-analysis, or other integrative approaches strong quantitative skills, including handling and analysis of large datasets experience with programming languages for scientific computing